Dynamic Displacement Response TCN-BiGRU Prediction of Isolation Bearings

The dynamic displacement response of isolation bearings can promptly reflect its operational status and directly impact the structural safety performance under dynamic loads such as earthquakes. In this paper, a method of TCN-BiGRU predicting the dynamic displacement response of isolation bearings is proposed, which based on CEEMDAN, VMD and EWT multiscale decomposition. Experimental data validation demonstrates that the proposed model achieves a prediction accuracy of 98%, Compared to single decomposition methods, multiscale decomposition enables better exploration of deep features within displacement data. The model offers an effective approach for predicting the dynamic displacement response of isolation bearings.

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Publication Details

Published
2024-08-21
DOI
https://doi.org/10.1109/icicn62625.2024.10761810
Primary Topic
Tribology and Lubrication Engineering
Type
article
Field-Weighted Citation Impact
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Dynamic Displacement Response TCN-BiGRU Prediction of Isolation Bearings

Bincan Liu, Xiaojuan Li, Yongqiang He, Huiqin Wang et al.
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Tribology and Lubrication Engineering
article

Dynamic Displacement Response TCN-BiGRU Prediction of Isolation Bearings

Bincan Liu, Xiaojuan Li, Yongqiang He, Huiqin Wang, Letai Shi
article en

Abstract

The dynamic displacement response of isolation bearings can promptly reflect its operational status and directly impact the structural safety performance under dynamic loads such as earthquakes. In this paper, a method of TCN-BiGRU predicting the dynamic displacement response of isolation bearings is proposed, which based on CEEMDAN, VMD and EWT multiscale decomposition. Experimental data validation demonstrates that the proposed model achieves a prediction accuracy of 98%, Compared to single decomposition methods, multiscale decomposition enables better exploration of deep features within displacement data. The model offers an effective approach for predicting the dynamic displacement response of isolation bearings.

Minzu University of China (CN), Lanzhou University of Technology (CN)
National Natural Science Foundation of China
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Openalex Percentile: Top 78%
Tribology and Lubrication Engineering
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